Reduced Energy Microsystems

Building the lowest-power silicon for embedded deep learning and computer vision.

REM leverages several proprietary technologies to drastically increase the power efficiency of deep learning and vision algorithms.

Asynchronous

REM is the industry leader in asynchronous, resilient design. These designs remove time, energy, and space wasted by traditional, synchronous designs and open the door to new designs.

Wide Dynamic Range

REM chips are able to dynamically scale down to near threshold for optimal energy efficiency, or increase performance for time-sensitive tasks.

Custom Architecture

REM's custom parallel, heterogeneous architecture has been built from scratch to support the lowest-power inference of large convolutional neural networks without sacrificing performance or flexibility.